Artificial Neural Network for Regression (Udemy.com)

It was a good learning experience, but I want to know how to select the number of hidden layers, the number of neurons in each layer, the learning rate, and the optimum size and how to optimize all these parameters.

I am very excited to learn as much as I can about machine learning. The UCI Machine Learning Repository was a great find. I am glad that you introduced it, so that I can practice Classification, Regression, and other types of Neural Networks.

I come here from Machine Learning Tutorial. Those guys really perfect. They do teachin a enjoying and friendly even also scientific manner. In this part Regression ANN just i have question so here is not Q&a Thats why I feel ask here . as I remember from Machine Learning it was highly advised to make feature scaling and here is we dont. I apply it by myself but i saw the predicted values are gotten very close as much as they are same. Do i miss something.

I liked the course, It gives a good basic to start learning about ANN, you can see a real aplication in solving problems. I just think the quality of the image could be better, sometimes I have had difficulties in seeing what was writed. But, in general, the course gives what it promisses. Thanks.

Well what can I say. It's an Awesome course and above expectations. I bought the Machine Learning A-Z course in 2019 but somehow never gone beyond first 4 videos. This course gave me a new nice feel and motivation to start that now and complete it soon. Thank You for making this course!! Love the way you explain with so much enthusiasm to teach and in a joyful tone!

This is a great hands-on course in the path to Deep Learning and AI mastery. It guides you step-by-step and with clear explanation through a simple (yet kinda complex) project. The teacher is clearly passionate. really knows his stuff and does an excellent job of explaining things in a language that even a novice can undestand. Overall, this is a great place to start and get to motivated for the next, longer/heavier courses ahead in the Machine Learning/Deep Learning path. And you get to actually complete a full project in less than an hour, which is awesome for moral :)

Great course to achieve the conceptual understanding of the Artificial Neural Network. The short duration of the course makes it exciting, especially for the beginners, without overwhelming them. Yet it delivers very good contents, explained fully (top-level ideas) in the simplest words possible, in a step by step manner. The instructor is very enthusiastic, which makes the course really engaging in its entirety. Ultimately, this course leaves you with just the right amount of motivation and inspiration to proceed forward in the journey of mastering the broader AI.

If you completed Section 3 (ANN Intuition) and Section 4 (Building an ANN) of the Deep Learning A-Z course, which taught you how to build and train an ANN for classification, you should breeze right through this course. It's good to have the theory in mind as you follow along with the instructor. Make sure to take notes in the Collab notebook for specific steps so not only do you know what you're doing but also why you're doing it.

Breve y claro! Se debe tener conocimientos previos para sacar el máximo provecho a este curso pero sin duda es muy útil y se complementa con el full course de pago! Estoy ansioso por saber y aprender más de este mundo del ML,DL y AI.

This course was extremely helpful for me, as it directly applied to what I'm trying to do at work. Was able to follow it step-by-step with complete success. The instructor does a fantastic job explaining every step in an easy-to-understand manner.